Priyadarshini Chatterjee

437 total citations
14 papers, 306 citations indexed

About

Priyadarshini Chatterjee is a scholar working on Immunology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Priyadarshini Chatterjee has authored 14 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Priyadarshini Chatterjee's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Priyadarshini Chatterjee is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Priyadarshini Chatterjee collaborates with scholars based in India, United States and United Kingdom. Priyadarshini Chatterjee's co-authors include Michael C. Carroll, Balthasar A. Heesters, Michael Kuligowski, Young‐A Kim, Tomas Kirchhausen, Santiago González, Satyajit Rath, Vineeta Bal, Anna George and Minghe Ma and has published in prestigious journals such as Immunity, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Priyadarshini Chatterjee

11 papers receiving 301 citations

Peers

Priyadarshini Chatterjee
Comparison fields: 5 of 58
  • Immunology 242
  • Radiology, Nuclear Medicine and Imaging 52
  • Molecular Biology 38
  • Rheumatology 26
  • Hematology 23
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N. H. Phu United Kingdom
Renji Reghunathan Singapore
Stefanie Ries Germany
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Jianyong Wang United States
Anna E. van Beek Netherlands
Clara Young Australia
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Citations per field, relative to Priyadarshini Chatterjee
Priyadarshini Chatterjee · 1×
Citations per year, relative to Priyadarshini Chatterjee
Priyadarshini Chatterjee · 1×

Countries citing papers authored by Priyadarshini Chatterjee

Since Specialization
Citations

This map shows the geographic impact of Priyadarshini Chatterjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Priyadarshini Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyadarshini Chatterjee more than expected).

Fields of papers citing papers by Priyadarshini Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priyadarshini Chatterjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Priyadarshini Chatterjee. The network helps show where Priyadarshini Chatterjee may publish in the future.

Co-authorship network of co-authors of Priyadarshini Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Priyadarshini Chatterjee. A scholar is included among the top collaborators of Priyadarshini Chatterjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyadarshini Chatterjee. Priyadarshini Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 3
5 4
6 8
7 1
8 12
9 11
10 208
11 35
12 2
13 11
14 10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026